Senior Backend Engineer, Data Ingestion (Equity)

Scribe; San Francisco (CA); Hybrid; USD 145,000 - 230,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

Flexible paid time off

401(k)

Paid parental leave

Daily catered lunch (SF office)

Commuter benefits

Home office stipend

Job summary

Scribe, based in San Francisco, is seeking a Senior Software Engineer, Backend, to design and scale our data ingestion, workflow processing, and AI inference systems. You’ll work across Python, TypeScript, and Go, building distributed services deployed on AWS and shaping large-scale pipelines.

You will own critical backend components, optimize performance, and collaborate across teams to deliver reliable, maintainable code in a fast-growing startup environment.

Qualifications

• 8+ years of backend experience with Python, TypeScript, or Go.
• Deep experience designing and operating distributed systems in production.
• Experience with message queues and task orchestration tools (Celery, SQS, RabbitMQ, Kafka).
• Built large-scale data ingestion/processing systems with scale and reliability.
• Experience designing, deploying, and maintaining microservices.

Responsibilities

• Architect and evolve large-scale data ingestion and processing pipelines.
• Build services that power AI inference with in-house models.
• Improve performance of business-critical systems across the platform.
• Design, deploy, and operate microservices in production.
• Work across Python, TypeScript, and Go to ship reliable, maintainable code.
• Partner with teammates to deploy and operate systems in AWS.

Skills

Backend development

Distributed systems

Python

Go

TypeScript

AWS

Message queues

Microservices

Tools

Django

Celery

SQS

RabbitMQ

Kafka

Job description

Scribe, based in San Francisco, is seeking a Senior Software Engineer, Backend, to design and scale our data ingestion, workflow processing, and AI inference systems. You’ll work across Python, TypeScript, and Go, building distributed services deployed on AWS and shaping large-scale pipelines.

You will own critical backend components, optimize performance, and collaborate across teams to deliver reliable, maintainable code in a fast-growing startup environment.